Alternatives and similar repositories for SPINN

Users that are interested in SPINN are comparing it to the libraries listed below

• BaratiLab / OFormer
  ☆86Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆72Updated 6 months ago
• HaoZhongkai / GNOT
  ☆52Updated 2 years ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆98Updated 10 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆62Updated 4 months ago
• thu-ml / GNOT
  ☆83Updated 2 years ago
• csccm-iitd / WNO
  ☆62Updated 2 months ago
• thu-ml / NUNO
  [ICML 2023] Non-Uniform Neural Operator (NUNO)
  ☆26Updated 2 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆55Updated 3 years ago
• PredictiveIntelligenceLab / cvit
  ☆51Updated 3 months ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆74Updated 2 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆74Updated last year
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆57Updated 5 months ago
• ashiq24 / UNO
  ☆63Updated 7 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆24Updated 4 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 7 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆52Updated last year
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆155Updated 6 months ago
• LouisSerrano / coral
  ☆33Updated last year
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆38Updated 2 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆64Updated last year
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆82Updated 5 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆32Updated last year
• anthonyzhou-1 / ldm_pdes
  ☆33Updated 3 months ago
• camlab-ethz / GAOT
  [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
  ☆45Updated last week
• Extrality / AirfRANS
  In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…
  ☆56Updated 9 months ago
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆47Updated last month